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Ahead of AI

Sebastian Raschka, PhD

Ahead AI specializes in Machine Learning & AI research and is read by tens of thousands of researchers and practitioners who want to stay ahead in the ever-evolving field.

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Latest Issues

Recent posts by this newsletter. Browse the email archive.

Research Papers in February 2024: A LoRA Successor, Small Finetuned LLMs Vs Generalist LLMs, and Transparent LLM Research

Once again, this has been an exciting month in AI research. This month, I'm covering two new openly available LLMs, insights into small finetuned LLMs, and a new parameter-efficient LLM finetuning technique.

a month ago

Improving LoRA: Implementing Weight-Decomposed Low-Rank Adaptation (DoRA) from Scratch

Low-rank adaptation (LoRA) is a machine learning technique that modifies a pretrained model (for example, an LLM or vision transformer) to better suit a specific, often smaller, dataset by adjusting only a small, low-rank subset of the mode...

a month ago

Research Papers in Jan 2024: Model Merging, Mixtures of Experts, and Towards Smaller LLMs

2023 was the year when the potential and complexity of Large Language Models (LLMs) were growing rapidly. Looking at the open source and research advancements in 2024, it seems we are going to a welcome phase of making models better (and sm...

2 months ago

Understanding and Coding Self-Attention, Multi-Head Attention, Cross-Attention, and Causal-Attention in LLMs

This article will teach you about self-attention mechanisms used in transformer architectures and large language models (LLMs) such as GPT-4 and Llama. Self-attention and related mechanisms are core components of LLMs, making them a useful ...

3 months ago


The writers behind this newsletter.

  • Sebastian Raschka, PhD

    Sebastian is a machine learning and AI researcher with over a decade of experience in the field. He is very passionate about explaining complex technical concepts and "taking the magic out of AI."

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